Abstract: With the extension of oil and gas drilling to deep and complex strata, the drilling sensor network is prone to data quality problems, such as large-scale loss of measurement values and ...
Abstract: With the explosive growth of interferometric synthetic aperture radar (InSAR) data, we have entered the era of InSAR big data. A key challenge in big data InSAR processing is efficient ...
Abstract: In power substation environments, ensuring personnel safety is critical to maintaining stable and reliable power operations. Detecting falls—a key safety concern—involves overcoming ...
Abstract: In radar detection, long-time coherent integration (LTCI) is widely used to enhance the detection performance of high-speed targets. However, its effectiveness is fundamentally limited by ...
Abstract: Local dip estimation is essential for various applications in exploration geophysics, directly impacting seismic interpretation and imaging quality. Conventional methods, including the ...
Abstract: In this paper, an innovative ultrasonic nondestructive testing (NDT) method is proposed, which combines multimodal sensor fusion technology with deep learning algorithms to address the ...
Due to the lapse in federal government funding, NASA is not updating this website. NASA's Science Mission Directorate (SMD) announces the release of its annual omnibus solicitation for basic and ...
In the current climate, generic and expensive programs to promote diversity, equity, and inclusion—for example, trainings—are increasingly falling out of favor. In fact, most of the existing research ...
In AI research, progress is often equated with size. But a small team at Samsung’s AI lab in Montreal has taken another approach that is proving to show great promise. Their new Tiny Recursive Model ...
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